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VR-DIS
VR-DIS

... B represents the behavior of user-agent i I represents the intentions of a user-agent i A represents the activity agenda user user-agent i F represents the knowledge of information about the environment, called Facets T represents the time-budget each user-agent ...
Nervous system slides
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... brainstem centers control sleep and arousal, such as the reticular system that filters sensory input sent to the cortex. ¾The two hemispheres of the brain are specialized for different functions; the left hemisphere contains processes supporting speech, language, & analytical ability, while spatial ...
Kenneth D Forbus - (QRG), Northwestern University
Kenneth D Forbus - (QRG), Northwestern University

... Intelligence group at the Beckman Institute, University of Illinois before taking up a post at Northwestern University, where he is the Walter P. Murphy Professor of Computer Science and Professor of Education. Professor Forbus is currently head of the Cognitive Systems Division; part of the Electri ...
cognitive synergy: a universal principle for feasible
cognitive synergy: a universal principle for feasible

... useful indirectly in calculating these probability estimates, via providing new concepts that can be used to make useful inference trails more compact and hence easier to construct. The key role of attentional knowledge in the overall functioning of intelligent systems as described by CST must be em ...
MetaMAc, or What Do I Do Now? A strategic perspective
MetaMAc, or What Do I Do Now? A strategic perspective

... mean “I want to be at the beach,” which is a state-goal. Yet we also have maintenance goals, such as “keeping the room picked up” which presumably means vigilantly acting on any upcoming needs to do a picking-up action. In addition, there are intentions that are goal-like but perhaps not best descri ...
Bio Inspired Computing
Bio Inspired Computing

... tried, for the first time, to construct a meaningful comparison between brain and computer power. Von Neumann argued that the brain must employ digital computation. Figuring in the number of neurons, connections, and estimates of computational speed and statistical noise in the brain, he then conclu ...
The Symbolic vs Subsymbolic Debate
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neuron synapse The junction between the axon tip of a sending

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... Waterloo, Canada This year’s conference will focus on ways that text stored as electronic data allows information to be restructured and extracted in responseto individualized needs. Papers presenting original research on theoretical and applied aspectsof this theme are being sought. Typical but not ...
Artificial Intelligence Overview
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Social Intelligence and Emergent Rationality

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Minds, brains, and programs - human
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... i , he viewed as an attempt to explore the consequences of two propositions. (1) Intentionality in human beings (and *"* ThiSIcC Xu^iraTut;of theS I assume this b an empirical fact about the actua. causal relations between --*£«— do^ls) ^ a product of causa ^ .^.^^ (2) Instantiating a computer progr ...
Artificial Intelligence
Artificial Intelligence

... (e.g. requirement of a body). Also, the connectedness of the local environment to AI will force science away from a reductionist view of this new life and into a more complex view of interactions causing life to arise. On the other hand, most scientists would be happy to view the brain as a vast but ...
Encyclopedia of Artificial Intelligence
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... to start simple and gradually build on top of acquired abilities. The well-timed and gradual co-development of body morphology and neural system provides an incremental approach to deal with a complex and unpredictable world. Early “morphological constraints” and “cognitive limitations” can lead to ...
Cognitive Handout 2 - Connecticut Speech-Language
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... A recovering brain is in a dynamic and plastic state We know from non-injured brains that experience causes brain changes, including cognitive improvement New treatments have been designed with plasticity in mind ...
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- Birkbeck, University of London
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CS 160 * Comparative Cognition * Spring 02
CS 160 * Comparative Cognition * Spring 02

... - e.g. “Blindsight” Human w/damage to higher visual areas is “blind” but can point to moving stim. - Inferior Colliculus = Processes auditory info (esp location), & integrate with motor output - Together, Colliculi coord their “maps” of motion in vis & auditory world, so thing seen = thing heard - N ...
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Embodied cognitive science

For approaches to cognitive science that emphasize the embodied mind, see Embodied cognitionEmbodied Cognitive Science is an interdisciplinary field of research, the aim of which is to explain the mechanisms underlying intelligent behavior. It comprises three main methodologies: 1) the modeling of psychological and biological systems in a holistic manner that considers the mind and body as a single entity, 2) the formation of a common set of general principles of intelligent behavior, and 3) the experimental use of robotic agents in controlled environments.Embodied cognitive science borrows heavily from embodied philosophy and the related research fields of cognitive science, psychology, neuroscience and artificial intelligence. From the perspective of neuroscience, research in this field was led by Gerald Edelman of the Neurosciences Institute at La Jolla, the late Francisco Varela of CNRS in France, and J. A. Scott Kelso of Florida Atlantic University. From the perspective of psychology, research by Michael Turvey, Lawrence Barsalou and Eleanor Rosch. From the perspective of language acquisition, Eric Lenneberg and Philip Rubin at Haskins Laboratories. From the perspective of autonomous agent design, early work is sometimes attributed to Rodney Brooks or Valentino Braitenberg. From the perspective of artificial intelligence, see Understanding Intelligence by Rolf Pfeifer and Christian Scheier or How the body shapes the way we think, also by Rolf Pfeifer and Josh C. Bongard. From the perspective of philosophy see Andy Clark, Shaun Gallagher, and Evan Thompson.Turing proposed that a machine may need a human-like body to think and speak:It can also be maintained that it is best to provide the machine with the best sense organs that money can buy, and then teach it to understand and speak English. That process could follow the normal teaching of a child. Things would be pointed out and named, etc. Again, I do not know what the right answer is, but I think both approaches should be tried (Turing, 1950).↑
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